Pith Number
pith:PSW54LME
pith:2026:PSW54LME3KLQVVF5UE65GBW3U4
not attested
not anchored
not stored
refs pending
A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA
arxiv:2606.22604 v1 · 2026-06-21 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PSW54LME3KLQVVF5UE65GBW3U4}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-06-23T02:13:42.628257Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7cadde2d84da970ad4bda13dd306dba71695a9085f1fab17a84de3dfffdb5a5c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PSW54LME3KLQVVF5UE65GBW3U4 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7cadde2d84da970ad4bda13dd306dba71695a9085f1fab17a84de3dfffdb5a5c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dee4fce36613b7135157a6d368e87d4d69f314fe1964b0f21af7571b15b69905",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2026-06-21T17:22:45Z",
"title_canon_sha256": "d9246b79e1ba560824c4ea27070bdcf0ba6ee2f3869aaf26cee7250b33f753ae"
},
"schema_version": "1.0",
"source": {
"id": "2606.22604",
"kind": "arxiv",
"version": 1
}
}